Biase Tayanny Margarida Menezes Almeida, Bruniéri Giulia Sartori, Silva Marcus Tolentino, Galvão Taís Freire
State University of Campinas, School of Pharmaceutical Sciences, Graduate Program of Pharmaceutical Sciences, São Paulo, Brazil.
University of Sorocaba, Graduate Program of Pharmaceutical Sciences, São Paulo, Brazil.
Turk J Pharm Sci. 2022 Oct 31;19(5):543-551. doi: 10.4274/tjps.galenos.2021.96603.
Drug information systems are commonly used by professionals to assist in the identification of drug interactions and to ensure the safe use of medications. Real-world evidence about the comparison of different drug interaction sources is scarce. We aimed to compare two drug interaction databases to identify interactions in a population-based survey.
This is a cross-sectional study based on a previous survey performed in the city of Manaus, Brazil, in 2019. We included adults aged 18 years and over, who used two or more medicines 15 days before the interview. To assess potential drug interactions, we searched Micromedex and UpToDate databases. The primary outcome was the prevalence of potential drug interactions in each database. Weighted Kappa statistics were calculated to assess agreement on the presence of drug interaction, documentation and severity.
A total of 752 participants were included in the study. The prevalence of drug interactions was 43.8% [95% confidence interval (CI): 40.2, 47.3%] in UpToDate and 30.2% (95% CI: 26.9, 33.5%), in Micromedex. The agreement related to drug interactions between the two databases was fair (Kappa: 0.631). For severity (Kappa: 0.398) and documentation (Kappa: 0.311), the agreement was poor.
Agreement among compared databases was sub-optimal. Better quality and transparency of evidence available in drug interaction sources are needed to support informed healthcare professionals' decision.
药物信息系统常用于专业人员协助识别药物相互作用并确保药物安全使用。关于不同药物相互作用来源比较的真实世界证据稀缺。我们旨在比较两个药物相互作用数据库,以在基于人群的调查中识别相互作用。
这是一项基于2019年在巴西玛瑙斯市进行的先前调查的横断面研究。我们纳入了18岁及以上的成年人,他们在访谈前15天使用了两种或更多种药物。为评估潜在的药物相互作用,我们检索了Micromedex和UpToDate数据库。主要结局是每个数据库中潜在药物相互作用的患病率。计算加权Kappa统计量以评估在药物相互作用的存在、记录和严重程度方面的一致性。
共有752名参与者纳入研究。UpToDate中药物相互作用的患病率为43.8% [95%置信区间(CI):40.2,47.3%],Micromedex中为30.2% (95% CI:26.9,33.5%)。两个数据库之间关于药物相互作用的一致性为中等(Kappa:0.631)。对于严重程度(Kappa:0.398)和记录(Kappa:0.311),一致性较差。
比较的数据库之间的一致性未达最佳。需要提高药物相互作用来源中证据的质量和透明度,以支持知识渊博的医疗专业人员做出决策。